The brewer scales provides sequential, diverging and qualitative colour schemes from ColorBrewer. These are particularly well suited to display discrete values on a map. See http://colorbrewer2.org for more information.

scale_colour_brewer(..., type = "seq", palette = 1, direction = 1)

scale_fill_brewer(..., type = "seq", palette = 1, direction = 1)

scale_colour_distiller(..., type = "seq", palette = 1, direction = -1,
  values = NULL, space = "Lab", na.value = "grey50",
  guide = "colourbar")

scale_fill_distiller(..., type = "seq", palette = 1, direction = -1,
  values = NULL, space = "Lab", na.value = "grey50",
  guide = "colourbar")

Arguments

...

Other arguments passed on to discrete_scale() or, for distiller scales, continuous_scale() to control name, limits, breaks, labels and so forth.

type

One of seq (sequential), div (diverging) or qual (qualitative)

palette

If a string, will use that named palette. If a number, will index into the list of palettes of appropriate type

direction

Sets the order of colors in the scale. If 1, the default, colors are as output by brewer.pal. If -1, the order of colors is reversed.

values

if colours should not be evenly positioned along the gradient this vector gives the position (between 0 and 1) for each colour in the colours vector. See rescale for a convience function to map an arbitrary range to between 0 and 1.

space

colour space in which to calculate gradient. Must be "Lab" - other values are deprecated.

na.value

Colour to use for missing values

guide

Type of legend. Use "colourbar" for continuous colour bar, or "legend" for discrete colour legend.

Details

The brewer scales were carefully designed and tested on discrete data. They were not designed to be extended to continuous data, but results often look good. Your mileage may vary.

Note

The distiller scales extends brewer to continuous scales by smoothly interpolate 6 colours from any palette to a continuous scale.

Palettes

The following palettes are available for use with these scales:

Diverging

BrBG, PiYG, PRGn, PuOr, RdBu, RdGy, RdYlBu, RdYlGn, Spectral

Qualitative

Accent, Dark2, Paired, Pastel1, Pastel2, Set1, Set2, Set3

Sequential

Blues, BuGn, BuPu, GnBu, Greens, Greys, Oranges, OrRd, PuBu, PuBuGn, PuRd, Purples, RdPu, Reds, YlGn, YlGnBu, YlOrBr, YlOrRd

See also

Examples

dsamp <- diamonds[sample(nrow(diamonds), 1000), ] (d <- ggplot(dsamp, aes(carat, price)) + geom_point(aes(colour = clarity)))
d + scale_colour_brewer()
# Change scale label d + scale_colour_brewer("Diamond\nclarity")
# Select brewer palette to use, see ?scales::brewer_pal for more details d + scale_colour_brewer(palette = "Greens")
#> Error in grid.Call.graphics(C_setviewport, vp, TRUE): non-finite location and/or size for viewport
d + scale_colour_brewer(palette = "Set1")
# scale_fill_brewer works just the same as # scale_colour_brewer but for fill colours p <- ggplot(diamonds, aes(x = price, fill = cut)) + geom_histogram(position = "dodge", binwidth = 1000) p + scale_fill_brewer()
# the order of colour can be reversed p + scale_fill_brewer(direction = -1)
# the brewer scales look better on a darker background p + scale_fill_brewer(direction = -1) + theme_dark()
# Use distiller variant with continous data v <- ggplot(faithfuld) + geom_tile(aes(waiting, eruptions, fill = density)) v
v + scale_fill_distiller()
v + scale_fill_distiller(palette = "Spectral")